Dataset statistics
| Number of variables | 30 |
|---|---|
| Number of observations | 10526 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.4 MiB |
| Average record size in memory | 240.0 B |
Variable types
| Numeric | 20 |
|---|---|
| Categorical | 10 |
State has constant value "NY" | Constant |
Station has a high cardinality: 340 distinct values | High cardinality |
Date has a high cardinality: 2107 distinct values | High cardinality |
Unnamed: 0 is highly correlated with latitude and 1 other fields | High correlation |
latitude is highly correlated with Unnamed: 0 and 1 other fields | High correlation |
longitude is highly correlated with Unnamed: 0 and 1 other fields | High correlation |
ZipCode is highly correlated with Wdspeed_Max and 1 other fields | High correlation |
Temperature_Max is highly correlated with Temperature_Avg and 4 other fields | High correlation |
Temperature_Avg is highly correlated with Temperature_Max and 4 other fields | High correlation |
Temperature_M is highly correlated with Temperature_Max and 4 other fields | High correlation |
Dewpot_Max is highly correlated with Temperature_Max and 4 other fields | High correlation |
Dewpot_Avg is highly correlated with Temperature_Max and 4 other fields | High correlation |
Dewpot_M is highly correlated with Temperature_Max and 5 other fields | High correlation |
Humidity_Max is highly correlated with Humidity_Avg and 2 other fields | High correlation |
Humidity_Avg is highly correlated with Dewpot_M and 3 other fields | High correlation |
Humidity_M is highly correlated with Humidity_Max and 1 other fields | High correlation |
Wdspeed_Max is highly correlated with ZipCode and 1 other fields | High correlation |
Wdspeed_Avg is highly correlated with ZipCode and 1 other fields | High correlation |
Pressure_Max is highly correlated with Pressure_M | High correlation |
Pressure_M is highly correlated with Pressure_Max | High correlation |
Precipitation_Total is highly correlated with Humidity_Max and 1 other fields | High correlation |
Unnamed: 0 is highly correlated with latitude and 1 other fields | High correlation |
latitude is highly correlated with Unnamed: 0 and 1 other fields | High correlation |
longitude is highly correlated with Unnamed: 0 and 2 other fields | High correlation |
ZipCode is highly correlated with Wdspeed_Max and 1 other fields | High correlation |
Temperature_Max is highly correlated with Temperature_Avg and 4 other fields | High correlation |
Temperature_Avg is highly correlated with Temperature_Max and 4 other fields | High correlation |
Temperature_M is highly correlated with Temperature_Max and 4 other fields | High correlation |
Dewpot_Max is highly correlated with Temperature_Max and 5 other fields | High correlation |
Dewpot_Avg is highly correlated with Temperature_Max and 6 other fields | High correlation |
Dewpot_M is highly correlated with Temperature_Max and 5 other fields | High correlation |
Humidity_Max is highly correlated with Dewpot_Max and 3 other fields | High correlation |
Humidity_Avg is highly correlated with Dewpot_Avg and 3 other fields | High correlation |
Humidity_M is highly correlated with Humidity_Max and 1 other fields | High correlation |
Wdspeed_Max is highly correlated with ZipCode and 1 other fields | High correlation |
Wdspeed_Avg is highly correlated with longitude and 2 other fields | High correlation |
Pressure_Max is highly correlated with Pressure_M | High correlation |
Pressure_M is highly correlated with Pressure_Max | High correlation |
Unnamed: 0 is highly correlated with latitude | High correlation |
latitude is highly correlated with Unnamed: 0 and 1 other fields | High correlation |
longitude is highly correlated with latitude | High correlation |
ZipCode is highly correlated with Wdspeed_Max and 1 other fields | High correlation |
Temperature_Max is highly correlated with Temperature_Avg and 4 other fields | High correlation |
Temperature_Avg is highly correlated with Temperature_Max and 4 other fields | High correlation |
Temperature_M is highly correlated with Temperature_Max and 4 other fields | High correlation |
Dewpot_Max is highly correlated with Temperature_Max and 4 other fields | High correlation |
Dewpot_Avg is highly correlated with Temperature_Max and 4 other fields | High correlation |
Dewpot_M is highly correlated with Temperature_Max and 4 other fields | High correlation |
Humidity_Max is highly correlated with Humidity_Avg | High correlation |
Humidity_Avg is highly correlated with Humidity_Max and 1 other fields | High correlation |
Humidity_M is highly correlated with Humidity_Avg | High correlation |
Wdspeed_Max is highly correlated with ZipCode and 1 other fields | High correlation |
Wdspeed_Avg is highly correlated with ZipCode and 1 other fields | High correlation |
Pressure_Max is highly correlated with Pressure_M | High correlation |
Pressure_M is highly correlated with Pressure_Max | High correlation |
Weather_Type is highly correlated with State | High correlation |
longitude is highly correlated with Borough and 3 other fields | High correlation |
Level is highly correlated with State | High correlation |
Borough is highly correlated with longitude and 3 other fields | High correlation |
City is highly correlated with longitude and 3 other fields | High correlation |
latitude is highly correlated with longitude and 3 other fields | High correlation |
State is highly correlated with Weather_Type and 6 other fields | High correlation |
Month is highly correlated with State | High correlation |
Unnamed: 0 is highly correlated with latitude and 7 other fields | High correlation |
latitude is highly correlated with Unnamed: 0 and 6 other fields | High correlation |
longitude is highly correlated with Unnamed: 0 and 6 other fields | High correlation |
Borough is highly correlated with Unnamed: 0 and 6 other fields | High correlation |
City is highly correlated with Unnamed: 0 and 6 other fields | High correlation |
ZipCode is highly correlated with Unnamed: 0 and 6 other fields | High correlation |
Temperature_Max is highly correlated with Temperature_Avg and 7 other fields | High correlation |
Temperature_Avg is highly correlated with Temperature_Max and 7 other fields | High correlation |
Temperature_M is highly correlated with Temperature_Max and 7 other fields | High correlation |
Dewpot_Max is highly correlated with Temperature_Max and 9 other fields | High correlation |
Dewpot_Avg is highly correlated with Temperature_Max and 9 other fields | High correlation |
Dewpot_M is highly correlated with Temperature_Max and 10 other fields | High correlation |
Humidity_Max is highly correlated with Dewpot_Max and 4 other fields | High correlation |
Humidity_Avg is highly correlated with Dewpot_Max and 4 other fields | High correlation |
Humidity_M is highly correlated with Dewpot_M and 2 other fields | High correlation |
Wdspeed_Max is highly correlated with Unnamed: 0 and 6 other fields | High correlation |
Wdspeed_Avg is highly correlated with Unnamed: 0 and 7 other fields | High correlation |
Wdspeed_M is highly correlated with Wdspeed_Avg | High correlation |
Pressure_Max is highly correlated with ZipCode | High correlation |
Level is highly correlated with Temperature_Max and 8 other fields | High correlation |
Weather_Type is highly correlated with Wdspeed_Max and 1 other fields | High correlation |
Year is highly correlated with Unnamed: 0 | High correlation |
Month is highly correlated with Temperature_Max and 7 other fields | High correlation |
Month_Number is highly correlated with Temperature_Max and 7 other fields | High correlation |
Pressure_M is highly skewed (γ1 = -34.41313394) | Skewed |
Unnamed: 0 is uniformly distributed | Uniform |
latitude is uniformly distributed | Uniform |
longitude is uniformly distributed | Uniform |
Borough is uniformly distributed | Uniform |
City is uniformly distributed | Uniform |
Date is uniformly distributed | Uniform |
Unnamed: 0 has unique values | Unique |
Wdspeed_Avg has 505 (4.8%) zeros | Zeros |
Wdspeed_M has 9827 (93.4%) zeros | Zeros |
Precipitation_Total has 6528 (62.0%) zeros | Zeros |
Reproduction
| Analysis started | 2021-12-03 01:42:56.494623 |
|---|---|
| Analysis finished | 2021-12-03 01:43:49.907132 |
| Duration | 53.41 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
Unnamed: 0
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORMUNIQUE| Distinct | 10526 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5262.5 |
| Minimum | 0 |
|---|---|
| Maximum | 10525 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 526.25 |
| Q1 | 2631.25 |
| median | 5262.5 |
| Q3 | 7893.75 |
| 95-th percentile | 9998.75 |
| Maximum | 10525 |
| Range | 10525 |
| Interquartile range (IQR) | 5262.5 |
Descriptive statistics
| Standard deviation | 3038.738801 |
|---|---|
| Coefficient of variation (CV) | 0.5774325512 |
| Kurtosis | -1.2 |
| Mean | 5262.5 |
| Median Absolute Deviation (MAD) | 2631.5 |
| Skewness | 0 |
| Sum | 55393075 |
| Variance | 9233933.5 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 637 | 1 | < 0.1% |
| 4735 | 1 | < 0.1% |
| 8833 | 1 | < 0.1% |
| 2692 | 1 | < 0.1% |
| 645 | 1 | < 0.1% |
| 6790 | 1 | < 0.1% |
| 4743 | 1 | < 0.1% |
| 8841 | 1 | < 0.1% |
| 2700 | 1 | < 0.1% |
| Other values (10516) | 10516 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 10525 | 1 | |
| 10524 | 1 | |
| 10523 | 1 | |
| 10522 | 1 | |
| 10521 | 1 | |
| 10520 | 1 | |
| 10519 | 1 | |
| 10518 | 1 | |
| 10517 | 1 | |
| 10516 | 1 |
| Distinct | 340 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| KNYNEWYO103 | |
|---|---|
| KNYJACKS2 | |
| KNYNEWYO343 | |
| KNYBROOK54 | |
| KNYBRONX14 | |
| Other values (335) |
Length
| Max length | 11 |
|---|---|
| Median length | 10 |
| Mean length | 10.22392172 |
| Min length | 9 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 335 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | KNYBRONX14 |
|---|---|
| 2nd row | KNYBRONX14 |
| 3rd row | KNYBRONX14 |
| 4th row | KNYBRONX14 |
| 5th row | KNYBRONX14 |
Common Values
| Value | Count | Frequency (%) |
| KNYNEWYO103 | 2107 | |
| KNYJACKS2 | 2106 | |
| KNYNEWYO343 | 2106 | |
| KNYBROOK54 | 2100 | |
| KNYBRONX14 | 1772 | |
| KNYBRONX99 | 1 | < 0.1% |
| KNYBRONX170 | 1 | < 0.1% |
| KNYBRONX341 | 1 | < 0.1% |
| KNYBRONX30 | 1 | < 0.1% |
| KNYBRONX283 | 1 | < 0.1% |
| Other values (330) | 330 | 3.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| knynewyo103 | 2107 | |
| knynewyo343 | 2106 | |
| knyjacks2 | 2106 | |
| knybrook54 | 2100 | |
| knybronx14 | 1772 | |
| knybronx278 | 1 | < 0.1% |
| knybronx276 | 1 | < 0.1% |
| knybronx118 | 1 | < 0.1% |
| knybronx35 | 1 | < 0.1% |
| knybronx20 | 1 | < 0.1% |
| Other values (330) | 330 | 3.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
latitude
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORM| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| 40.8616 | |
|---|---|
| 40.5674 | |
| 40.7638 | |
| 40.7557 | |
| 40.6215 |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 40.8616 |
|---|---|
| 2nd row | 40.8616 |
| 3rd row | 40.8616 |
| 4th row | 40.8616 |
| 5th row | 40.8616 |
Common Values
| Value | Count | Frequency (%) |
| 40.8616 | 2107 | |
| 40.5674 | 2107 | |
| 40.7638 | 2106 | |
| 40.7557 | 2106 | |
| 40.6215 | 2100 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 40.8616 | 2107 | |
| 40.5674 | 2107 | |
| 40.7638 | 2106 | |
| 40.7557 | 2106 | |
| 40.6215 | 2100 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
longitude
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORM| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| -73.8809 | |
|---|---|
| -74.1343 | |
| -73.8831 | |
| -73.9918 | |
| -74.0096 |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 8 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | -73.8809 |
|---|---|
| 2nd row | -73.8809 |
| 3rd row | -73.8809 |
| 4th row | -73.8809 |
| 5th row | -73.8809 |
Common Values
| Value | Count | Frequency (%) |
| -73.8809 | 2107 | |
| -74.1343 | 2107 | |
| -73.8831 | 2106 | |
| -73.9918 | 2106 | |
| -74.0096 | 2100 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 73.8809 | 2107 | |
| 74.1343 | 2107 | |
| 73.8831 | 2106 | |
| 73.9918 | 2106 | |
| 74.0096 | 2100 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| Bronx | |
|---|---|
| Staten Island | |
| Manhattan | |
| Queens | |
| Brooklyn |
Length
| Max length | 13 |
|---|---|
| Median length | 8 |
| Mean length | 8.200266008 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Bronx |
|---|---|
| 2nd row | Bronx |
| 3rd row | Bronx |
| 4th row | Bronx |
| 5th row | Bronx |
Common Values
| Value | Count | Frequency (%) |
| Bronx | 2107 | |
| Staten Island | 2107 | |
| Manhattan | 2106 | |
| Queens | 2106 | |
| Brooklyn | 2100 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| bronx | 2107 | |
| staten | 2107 | |
| island | 2107 | |
| manhattan | 2106 | |
| queens | 2106 | |
| brooklyn | 2100 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| Richmondtown | |
|---|---|
| Botanical_Garden | |
| Jackson_Heights | |
| New_York | |
| Dyker_Heights |
Length
| Max length | 16 |
|---|---|
| Median length | 13 |
| Mean length | 12.800114 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Botanical_Garden |
|---|---|
| 2nd row | Botanical_Garden |
| 3rd row | Botanical_Garden |
| 4th row | Botanical_Garden |
| 5th row | Botanical_Garden |
Common Values
| Value | Count | Frequency (%) |
| Richmondtown | 2107 | |
| Botanical_Garden | 2107 | |
| Jackson_Heights | 2106 | |
| New_York | 2106 | |
| Dyker_Heights | 2100 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| richmondtown | 2107 | |
| botanical_garden | 2107 | |
| jackson_heights | 2106 | |
| new_york | 2106 | |
| dyker_heights | 2100 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| NY |
|---|
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | NY |
|---|---|
| 2nd row | NY |
| 3rd row | NY |
| 4th row | NY |
| 5th row | NY |
Common Values
| Value | Count | Frequency (%) |
| NY | 10526 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ny | 10526 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10676.08265 |
| Minimum | 10018 |
|---|---|
| Maximum | 11372 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 10018 |
|---|---|
| 5-th percentile | 10018 |
| Q1 | 10306 |
| median | 10458 |
| Q3 | 11228 |
| 95-th percentile | 11372 |
| Maximum | 11372 |
| Range | 1354 |
| Interquartile range (IQR) | 922 |
Descriptive statistics
| Standard deviation | 530.3205836 |
|---|---|
| Coefficient of variation (CV) | 0.04967370531 |
| Kurtosis | -1.645131201 |
| Mean | 10676.08265 |
| Median Absolute Deviation (MAD) | 440 |
| Skewness | 0.2129488085 |
| Sum | 112376446 |
| Variance | 281239.9213 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 10458 | 2107 | |
| 11372 | 2106 | |
| 10018 | 2106 | |
| 11228 | 2100 | |
| 10306 | 1828 | |
| 10308 | 279 | 2.7% |
| Value | Count | Frequency (%) |
| 10018 | 2106 | |
| 10306 | 1828 | |
| 10308 | 279 | 2.7% |
| 10458 | 2107 | |
| 11228 | 2100 | |
| 11372 | 2106 |
| Value | Count | Frequency (%) |
| 11372 | 2106 | |
| 11228 | 2100 | |
| 10458 | 2107 | |
| 10308 | 279 | 2.7% |
| 10306 | 1828 | |
| 10018 | 2106 |
| Distinct | 786 |
|---|---|
| Distinct (%) | 7.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 64.48357401 |
| Minimum | 12.9 |
|---|---|
| Maximum | 101.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 12.9 |
|---|---|
| 5-th percentile | 35.1 |
| Q1 | 49.1 |
| median | 65.4 |
| Q3 | 80.6 |
| 95-th percentile | 91.6 |
| Maximum | 101.2 |
| Range | 88.3 |
| Interquartile range (IQR) | 31.5 |
Descriptive statistics
| Standard deviation | 18.39402198 |
|---|---|
| Coefficient of variation (CV) | 0.2852512793 |
| Kurtosis | -1.011335499 |
| Mean | 64.48357401 |
| Median Absolute Deviation (MAD) | 15.7 |
| Skewness | -0.166850897 |
| Sum | 678754.1 |
| Variance | 338.3400447 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 81 | 52 | 0.5% |
| 72.9 | 44 | 0.4% |
| 82 | 44 | 0.4% |
| 82.8 | 43 | 0.4% |
| 88.3 | 42 | 0.4% |
| 61 | 42 | 0.4% |
| 46 | 42 | 0.4% |
| 85.5 | 41 | 0.4% |
| 77.5 | 39 | 0.4% |
| 49.6 | 39 | 0.4% |
| Other values (776) | 10098 |
| Value | Count | Frequency (%) |
| 12.9 | 1 | < 0.1% |
| 13.3 | 1 | < 0.1% |
| 13.8 | 1 | < 0.1% |
| 14 | 1 | < 0.1% |
| 14.2 | 1 | < 0.1% |
| 14.4 | 1 | < 0.1% |
| 15.3 | 1 | < 0.1% |
| 15.4 | 3 | |
| 15.7 | 1 | < 0.1% |
| 16 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 101.2 | 1 | |
| 101 | 1 | |
| 100.4 | 1 | |
| 100.3 | 1 | |
| 100 | 1 | |
| 99.8 | 1 | |
| 99.5 | 2 | |
| 99.3 | 1 | |
| 99.2 | 2 | |
| 99.1 | 2 |
| Distinct | 762 |
|---|---|
| Distinct (%) | 7.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 56.92463424 |
| Minimum | 7.3 |
|---|---|
| Maximum | 92 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 7.3 |
|---|---|
| 5-th percentile | 29.525 |
| Q1 | 42.6 |
| median | 57 |
| Q3 | 72.5 |
| 95-th percentile | 81.8 |
| Maximum | 92 |
| Range | 84.7 |
| Interquartile range (IQR) | 29.9 |
Descriptive statistics
| Standard deviation | 17.18509978 |
|---|---|
| Coefficient of variation (CV) | 0.3018921423 |
| Kurtosis | -1.003970493 |
| Mean | 56.92463424 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | -0.152249123 |
| Sum | 599188.7 |
| Variance | 295.3276544 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 75.5 | 40 | 0.4% |
| 76.2 | 37 | 0.4% |
| 71.7 | 34 | 0.3% |
| 42.1 | 33 | 0.3% |
| 49.1 | 33 | 0.3% |
| 74.6 | 33 | 0.3% |
| 73.5 | 33 | 0.3% |
| 72.5 | 32 | 0.3% |
| 40.6 | 31 | 0.3% |
| 76.4 | 31 | 0.3% |
| Other values (752) | 10189 |
| Value | Count | Frequency (%) |
| 7.3 | 1 | |
| 8.4 | 2 | |
| 8.6 | 1 | |
| 8.8 | 1 | |
| 9.3 | 1 | |
| 9.4 | 1 | |
| 9.6 | 1 | |
| 9.7 | 1 | |
| 9.8 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 92 | 2 | |
| 91.8 | 1 | |
| 91.7 | 1 | |
| 91.5 | 1 | |
| 91.4 | 1 | |
| 90.9 | 1 | |
| 90.8 | 1 | |
| 90.2 | 1 | |
| 89.8 | 1 | |
| 89.6 | 1 |
| Distinct | 740 |
|---|---|
| Distinct (%) | 7.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.07352271 |
| Minimum | -2.3 |
|---|---|
| Maximum | 85.5 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Negative | 2 |
| Negative (%) | < 0.1% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | -2.3 |
|---|---|
| 5-th percentile | 23.4 |
| Q1 | 36.7 |
| median | 49.6 |
| Q3 | 65.5 |
| 95-th percentile | 74.5 |
| Maximum | 85.5 |
| Range | 87.8 |
| Interquartile range (IQR) | 28.8 |
Descriptive statistics
| Standard deviation | 16.80266434 |
|---|---|
| Coefficient of variation (CV) | 0.3355598614 |
| Kurtosis | -0.9492629577 |
| Mean | 50.07352271 |
| Median Absolute Deviation (MAD) | 14.3 |
| Skewness | -0.1465675579 |
| Sum | 527073.9 |
| Variance | 282.3295288 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 70 | 61 | 0.6% |
| 70.5 | 55 | 0.5% |
| 71.2 | 53 | 0.5% |
| 69.1 | 50 | 0.5% |
| 37 | 49 | 0.5% |
| 72.3 | 45 | 0.4% |
| 69.3 | 45 | 0.4% |
| 73 | 45 | 0.4% |
| 70.3 | 44 | 0.4% |
| 36.1 | 43 | 0.4% |
| Other values (730) | 10036 |
| Value | Count | Frequency (%) |
| -2.3 | 1 | < 0.1% |
| -0.6 | 1 | < 0.1% |
| 0 | 2 | |
| 0.9 | 1 | < 0.1% |
| 1.6 | 1 | < 0.1% |
| 1.7 | 1 | < 0.1% |
| 2 | 1 | < 0.1% |
| 2.8 | 1 | < 0.1% |
| 3.4 | 1 | < 0.1% |
| 3.6 | 4 |
| Value | Count | Frequency (%) |
| 85.5 | 1 | < 0.1% |
| 84.2 | 2 | |
| 84 | 1 | < 0.1% |
| 83.1 | 2 | |
| 82.9 | 2 | |
| 82.8 | 1 | < 0.1% |
| 82.7 | 1 | < 0.1% |
| 82.6 | 3 | |
| 82.4 | 3 | |
| 82.1 | 1 | < 0.1% |
| Distinct | 785 |
|---|---|
| Distinct (%) | 7.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.73123694 |
| Minimum | -14.1 |
|---|---|
| Maximum | 87.8 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 18 |
| Negative (%) | 0.2% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | -14.1 |
|---|---|
| 5-th percentile | 20.6 |
| Q1 | 37 |
| median | 52.5 |
| Q3 | 66.5 |
| 95-th percentile | 74.8 |
| Maximum | 87.8 |
| Range | 101.9 |
| Interquartile range (IQR) | 29.5 |
Descriptive statistics
| Standard deviation | 17.74254548 |
|---|---|
| Coefficient of variation (CV) | 0.3497361104 |
| Kurtosis | -0.6962826341 |
| Mean | 50.73123694 |
| Median Absolute Deviation (MAD) | 14.6 |
| Skewness | -0.3990233271 |
| Sum | 533997 |
| Variance | 314.7979201 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 69.6 | 52 | 0.5% |
| 68.4 | 51 | 0.5% |
| 73 | 49 | 0.5% |
| 70 | 48 | 0.5% |
| 72.3 | 47 | 0.4% |
| 68.7 | 47 | 0.4% |
| 71.2 | 47 | 0.4% |
| 71.1 | 46 | 0.4% |
| 71.8 | 46 | 0.4% |
| 68 | 46 | 0.4% |
| Other values (775) | 10047 |
| Value | Count | Frequency (%) |
| -14.1 | 1 | |
| -11.4 | 1 | |
| -9.4 | 1 | |
| -6.1 | 1 | |
| -6 | 1 | |
| -5.3 | 1 | |
| -4.9 | 1 | |
| -4.4 | 1 | |
| -3.5 | 1 | |
| -3.2 | 1 |
| Value | Count | Frequency (%) |
| 87.8 | 1 | |
| 85.8 | 1 | |
| 85.1 | 1 | |
| 84 | 1 | |
| 83.8 | 1 | |
| 82.6 | 2 | |
| 82.4 | 1 | |
| 82.2 | 1 | |
| 81.1 | 2 | |
| 81 | 1 |
| Distinct | 811 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.31865856 |
| Minimum | -18.8 |
|---|---|
| Maximum | 78.5 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 74 |
| Negative (%) | 0.7% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | -18.8 |
|---|---|
| 5-th percentile | 12.6 |
| Q1 | 29.7 |
| median | 45.2 |
| Q3 | 60.6 |
| 95-th percentile | 70.9 |
| Maximum | 78.5 |
| Range | 97.3 |
| Interquartile range (IQR) | 30.9 |
Descriptive statistics
| Standard deviation | 18.68745886 |
|---|---|
| Coefficient of variation (CV) | 0.4216612026 |
| Kurtosis | -0.812673607 |
| Mean | 44.31865856 |
| Median Absolute Deviation (MAD) | 15.5 |
| Skewness | -0.2955740649 |
| Sum | 466498.2 |
| Variance | 349.2211188 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 56.2 | 30 | 0.3% |
| 66.8 | 30 | 0.3% |
| 63.7 | 30 | 0.3% |
| 51 | 30 | 0.3% |
| 54.6 | 30 | 0.3% |
| 66 | 29 | 0.3% |
| 68.9 | 29 | 0.3% |
| 61.5 | 28 | 0.3% |
| 29.5 | 28 | 0.3% |
| 65.7 | 28 | 0.3% |
| Other values (801) | 10234 |
| Value | Count | Frequency (%) |
| -18.8 | 1 | |
| -16.2 | 1 | |
| -13.9 | 1 | |
| -12 | 1 | |
| -11.5 | 1 | |
| -11.4 | 1 | |
| -11.1 | 1 | |
| -10.9 | 1 | |
| -9.7 | 1 | |
| -9.2 | 2 |
| Value | Count | Frequency (%) |
| 78.5 | 1 | < 0.1% |
| 77.7 | 1 | < 0.1% |
| 76.5 | 1 | < 0.1% |
| 76.4 | 1 | < 0.1% |
| 76.2 | 1 | < 0.1% |
| 76.1 | 1 | < 0.1% |
| 76 | 2 | |
| 75.9 | 3 | |
| 75.8 | 1 | < 0.1% |
| 75.7 | 2 |
| Distinct | 836 |
|---|---|
| Distinct (%) | 7.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.77145164 |
| Minimum | -26.7 |
|---|---|
| Maximum | 76.1 |
| Zeros | 5 |
| Zeros (%) | < 0.1% |
| Negative | 253 |
| Negative (%) | 2.4% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | -26.7 |
|---|---|
| 5-th percentile | 4.8 |
| Q1 | 22.3 |
| median | 38.7 |
| Q3 | 54.6 |
| 95-th percentile | 67.3 |
| Maximum | 76.1 |
| Range | 102.8 |
| Interquartile range (IQR) | 32.3 |
Descriptive statistics
| Standard deviation | 19.82155834 |
|---|---|
| Coefficient of variation (CV) | 0.5247761861 |
| Kurtosis | -0.8816216024 |
| Mean | 37.77145164 |
| Median Absolute Deviation (MAD) | 16.2 |
| Skewness | -0.2039915341 |
| Sum | 397582.3 |
| Variance | 392.8941749 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 28.9 | 41 | 0.4% |
| 36 | 41 | 0.4% |
| 28 | 39 | 0.4% |
| 28.6 | 37 | 0.4% |
| 39 | 36 | 0.3% |
| 43.2 | 36 | 0.3% |
| 52.7 | 35 | 0.3% |
| 64 | 35 | 0.3% |
| 21.9 | 35 | 0.3% |
| 49.5 | 34 | 0.3% |
| Other values (826) | 10157 |
| Value | Count | Frequency (%) |
| -26.7 | 1 | |
| -21.3 | 1 | |
| -19.9 | 1 | |
| -17.8 | 1 | |
| -17.5 | 1 | |
| -17 | 2 | |
| -16.8 | 1 | |
| -16.4 | 1 | |
| -15.9 | 2 | |
| -15.7 | 1 |
| Value | Count | Frequency (%) |
| 76.1 | 1 | < 0.1% |
| 75.2 | 1 | < 0.1% |
| 73.6 | 2 | |
| 73.5 | 1 | < 0.1% |
| 73.4 | 2 | |
| 73.3 | 2 | |
| 73.2 | 1 | < 0.1% |
| 73 | 1 | < 0.1% |
| 72.9 | 3 | |
| 72.7 | 3 |
| Distinct | 71 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.31730952 |
| Minimum | 27 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 27 |
|---|---|
| 5-th percentile | 56 |
| Q1 | 73 |
| median | 86 |
| Q3 | 94 |
| 95-th percentile | 98 |
| Maximum | 100 |
| Range | 73 |
| Interquartile range (IQR) | 21 |
Descriptive statistics
| Standard deviation | 13.81246704 |
|---|---|
| Coefficient of variation (CV) | 0.1677954141 |
| Kurtosis | -0.03736134946 |
| Mean | 82.31730952 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | -0.8710962735 |
| Sum | 866472 |
| Variance | 190.7842457 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 96 | 580 | 5.5% |
| 95 | 576 | 5.5% |
| 94 | 562 | 5.3% |
| 93 | 482 | 4.6% |
| 97 | 439 | 4.2% |
| 92 | 430 | 4.1% |
| 91 | 339 | 3.2% |
| 90 | 337 | 3.2% |
| 89 | 309 | 2.9% |
| 87 | 291 | 2.8% |
| Other values (61) | 6181 |
| Value | Count | Frequency (%) |
| 27 | 1 | < 0.1% |
| 31 | 1 | < 0.1% |
| 32 | 1 | < 0.1% |
| 33 | 2 | < 0.1% |
| 34 | 3 | < 0.1% |
| 35 | 4 | < 0.1% |
| 36 | 6 | |
| 37 | 6 | |
| 38 | 5 | < 0.1% |
| 39 | 13 |
| Value | Count | Frequency (%) |
| 100 | 276 | |
| 99 | 146 | 1.4% |
| 98 | 192 | 1.8% |
| 97 | 439 | |
| 96 | 580 | |
| 95 | 576 | |
| 94 | 562 | |
| 93 | 482 | |
| 92 | 430 | |
| 91 | 339 |
| Distinct | 204 |
|---|---|
| Distinct (%) | 1.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 65.4831845 |
| Minimum | 20 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 40 |
| Q1 | 54 |
| median | 66 |
| Q3 | 77 |
| 95-th percentile | 90 |
| Maximum | 100 |
| Range | 80 |
| Interquartile range (IQR) | 23 |
Descriptive statistics
| Standard deviation | 15.44131117 |
|---|---|
| Coefficient of variation (CV) | 0.235805746 |
| Kurtosis | -0.6616235914 |
| Mean | 65.4831845 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | -0.1091385299 |
| Sum | 689276 |
| Variance | 238.4340906 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 63 | 265 | 2.5% |
| 66 | 256 | 2.4% |
| 74 | 246 | 2.3% |
| 64 | 241 | 2.3% |
| 69 | 238 | 2.3% |
| 67 | 234 | 2.2% |
| 65 | 234 | 2.2% |
| 73 | 234 | 2.2% |
| 71 | 231 | 2.2% |
| 61 | 230 | 2.2% |
| Other values (194) | 8117 |
| Value | Count | Frequency (%) |
| 20 | 1 | < 0.1% |
| 22 | 2 | < 0.1% |
| 23 | 1 | < 0.1% |
| 24 | 5 | < 0.1% |
| 25 | 7 | |
| 25.9 | 1 | < 0.1% |
| 26 | 3 | < 0.1% |
| 27 | 7 | |
| 28 | 17 | |
| 28.1 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 5 | < 0.1% |
| 99 | 2 | < 0.1% |
| 98 | 17 | 0.2% |
| 97 | 27 | 0.3% |
| 96 | 50 | |
| 95 | 55 | |
| 94 | 66 | |
| 93 | 92 | |
| 92 | 99 | |
| 91 | 100 |
| Distinct | 95 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 46.94765343 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 22 |
| Q1 | 35 |
| median | 45 |
| Q3 | 57 |
| 95-th percentile | 78 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 22 |
Descriptive statistics
| Standard deviation | 16.67258594 |
|---|---|
| Coefficient of variation (CV) | 0.355131401 |
| Kurtosis | -0.2071939124 |
| Mean | 46.94765343 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | 0.484087566 |
| Sum | 494171 |
| Variance | 277.9751218 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 38 | 281 | 2.7% |
| 42 | 272 | 2.6% |
| 40 | 268 | 2.5% |
| 34 | 264 | 2.5% |
| 36 | 262 | 2.5% |
| 44 | 257 | 2.4% |
| 41 | 257 | 2.4% |
| 43 | 252 | 2.4% |
| 35 | 249 | 2.4% |
| 33 | 246 | 2.3% |
| Other values (85) | 7918 |
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 6 | 2 | < 0.1% |
| 7 | 1 | < 0.1% |
| 8 | 2 | < 0.1% |
| 9 | 1 | < 0.1% |
| 10 | 3 | < 0.1% |
| 11 | 6 | 0.1% |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 12 |
| Value | Count | Frequency (%) |
| 100 | 1 | < 0.1% |
| 99 | 1 | < 0.1% |
| 97 | 1 | < 0.1% |
| 96 | 6 | 0.1% |
| 95 | 12 | |
| 94 | 17 | |
| 93 | 14 | |
| 92 | 19 | |
| 91 | 19 | |
| 90 | 14 |
| Distinct | 372 |
|---|---|
| Distinct (%) | 3.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.3733707 |
| Minimum | 0 |
|---|---|
| Maximum | 104.5 |
| Zeros | 15 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 6.9 |
| median | 14 |
| Q3 | 19.9 |
| 95-th percentile | 30.6 |
| Maximum | 104.5 |
| Range | 104.5 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.2534788 |
|---|---|
| Coefficient of variation (CV) | 0.6437932335 |
| Kurtosis | 2.120204109 |
| Mean | 14.3733707 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.8998572237 |
| Sum | 151294.1 |
| Variance | 85.62686991 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 17 | 401 | 3.8% |
| 13 | 385 | 3.7% |
| 15 | 341 | 3.2% |
| 11 | 320 | 3.0% |
| 19 | 283 | 2.7% |
| 21 | 267 | 2.5% |
| 2.9 | 238 | 2.3% |
| 12 | 227 | 2.2% |
| 14 | 227 | 2.2% |
| 2.5 | 226 | 2.1% |
| Other values (362) | 7611 |
| Value | Count | Frequency (%) |
| 0 | 15 | 0.1% |
| 0.2 | 12 | 0.1% |
| 0.4 | 27 | 0.3% |
| 0.7 | 3 | < 0.1% |
| 0.9 | 38 | 0.4% |
| 1 | 1 | < 0.1% |
| 1.1 | 65 | |
| 1.3 | 83 | |
| 1.6 | 27 | 0.3% |
| 1.8 | 124 |
| Value | Count | Frequency (%) |
| 104.5 | 1 | |
| 76.1 | 1 | |
| 74.3 | 1 | |
| 72.9 | 1 | |
| 70.3 | 1 | |
| 66.9 | 1 | |
| 64 | 1 | |
| 61.1 | 1 | |
| 60.2 | 1 | |
| 59.5 | 1 |
| Distinct | 186 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.403638609 |
| Minimum | 0 |
|---|---|
| Maximum | 28 |
| Zeros | 505 |
| Zeros (%) | 4.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.6 |
| median | 2.5 |
| Q3 | 5.3 |
| 95-th percentile | 9.9 |
| Maximum | 28 |
| Range | 28 |
| Interquartile range (IQR) | 4.7 |
Descriptive statistics
| Standard deviation | 3.323169804 |
|---|---|
| Coefficient of variation (CV) | 0.9763580054 |
| Kurtosis | 2.047171492 |
| Mean | 3.403638609 |
| Median Absolute Deviation (MAD) | 2.1 |
| Skewness | 1.306131893 |
| Sum | 35826.7 |
| Variance | 11.04345754 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.1 | 814 | 7.7% |
| 0 | 505 | 4.8% |
| 0.2 | 501 | 4.8% |
| 0.3 | 311 | 3.0% |
| 0.4 | 274 | 2.6% |
| 0.5 | 216 | 2.1% |
| 0.6 | 200 | 1.9% |
| 0.7 | 188 | 1.8% |
| 1.9 | 163 | 1.5% |
| 0.8 | 163 | 1.5% |
| Other values (176) | 7191 |
| Value | Count | Frequency (%) |
| 0 | 505 | |
| 0.1 | 814 | |
| 0.2 | 501 | |
| 0.3 | 311 | 3.0% |
| 0.4 | 274 | 2.6% |
| 0.5 | 216 | 2.1% |
| 0.6 | 200 | 1.9% |
| 0.7 | 188 | 1.8% |
| 0.8 | 163 | 1.5% |
| 0.9 | 129 | 1.2% |
| Value | Count | Frequency (%) |
| 28 | 1 | |
| 23 | 2 | |
| 22.6 | 1 | |
| 22 | 1 | |
| 21.9 | 1 | |
| 20.3 | 1 | |
| 19.9 | 1 | |
| 19.5 | 1 | |
| 19 | 1 | |
| 18.6 | 1 |
| Distinct | 35 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1550826525 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 9827 |
| Zeros (%) | 93.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0.9 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8400194025 |
|---|---|
| Coefficient of variation (CV) | 5.416591663 |
| Kurtosis | 132.5330524 |
| Mean | 0.1550826525 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 9.737210037 |
| Sum | 1632.4 |
| Variance | 0.7056325965 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=35)
| Value | Count | Frequency (%) |
| 0 | 9827 | |
| 0.9 | 204 | 1.9% |
| 2 | 146 | 1.4% |
| 1 | 101 | 1.0% |
| 3 | 44 | 0.4% |
| 2.9 | 32 | 0.3% |
| 6 | 24 | 0.2% |
| 1.3 | 19 | 0.2% |
| 1.1 | 17 | 0.2% |
| 7 | 16 | 0.2% |
| Other values (25) | 96 | 0.9% |
| Value | Count | Frequency (%) |
| 0 | 9827 | |
| 0.9 | 204 | 1.9% |
| 1 | 101 | 1.0% |
| 1.1 | 17 | 0.2% |
| 1.3 | 19 | 0.2% |
| 1.6 | 10 | 0.1% |
| 1.8 | 9 | 0.1% |
| 2 | 146 | 1.4% |
| 2.2 | 3 | < 0.1% |
| 2.5 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 20 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 16 | 1 | < 0.1% |
| 14.8 | 1 | < 0.1% |
| 14 | 3 | |
| 13 | 1 | < 0.1% |
| 12 | 3 | |
| 10 | 3 | |
| 9 | 2 | |
| 8.1 | 1 | < 0.1% |
| Distinct | 182 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.07711381 |
| Minimum | 28.82 |
|---|---|
| Maximum | 32.19 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 28.82 |
|---|---|
| 5-th percentile | 29.56 |
| Q1 | 29.94 |
| median | 30.09 |
| Q3 | 30.24 |
| 95-th percentile | 30.48 |
| Maximum | 32.19 |
| Range | 3.37 |
| Interquartile range (IQR) | 0.3 |
Descriptive statistics
| Standard deviation | 0.2688617898 |
|---|---|
| Coefficient of variation (CV) | 0.008939082103 |
| Kurtosis | 1.331787582 |
| Mean | 30.07711381 |
| Median Absolute Deviation (MAD) | 0.15 |
| Skewness | -0.4821968351 |
| Sum | 316591.7 |
| Variance | 0.07228666201 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30.09 | 230 | 2.2% |
| 30.1 | 222 | 2.1% |
| 30.14 | 218 | 2.1% |
| 30.11 | 213 | 2.0% |
| 30.06 | 200 | 1.9% |
| 30.03 | 196 | 1.9% |
| 30.08 | 189 | 1.8% |
| 30.2 | 189 | 1.8% |
| 30.07 | 189 | 1.8% |
| 30.16 | 187 | 1.8% |
| Other values (172) | 8493 |
| Value | Count | Frequency (%) |
| 28.82 | 1 | < 0.1% |
| 28.92 | 2 | |
| 28.99 | 3 | |
| 29.01 | 1 | < 0.1% |
| 29.04 | 1 | < 0.1% |
| 29.06 | 1 | < 0.1% |
| 29.07 | 1 | < 0.1% |
| 29.09 | 2 | |
| 29.1 | 1 | < 0.1% |
| 29.11 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 32.19 | 1 | < 0.1% |
| 31.61 | 1 | < 0.1% |
| 30.86 | 1 | < 0.1% |
| 30.85 | 1 | < 0.1% |
| 30.84 | 1 | < 0.1% |
| 30.82 | 2 | < 0.1% |
| 30.77 | 5 | |
| 30.76 | 3 | < 0.1% |
| 30.75 | 7 | |
| 30.74 | 8 |
| Distinct | 213 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.84318165 |
| Minimum | 0 |
|---|---|
| Maximum | 30.68 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 29.27 |
| Q1 | 29.71 |
| median | 29.88 |
| Q3 | 30.04 |
| 95-th percentile | 30.27 |
| Maximum | 30.68 |
| Range | 30.68 |
| Interquartile range (IQR) | 0.33 |
Descriptive statistics
| Standard deviation | 0.4208023494 |
|---|---|
| Coefficient of variation (CV) | 0.01410045197 |
| Kurtosis | 2405.784376 |
| Mean | 29.84318165 |
| Median Absolute Deviation (MAD) | 0.17 |
| Skewness | -34.41313394 |
| Sum | 314129.33 |
| Variance | 0.1770746173 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 29.83 | 197 | 1.9% |
| 29.92 | 197 | 1.9% |
| 29.91 | 192 | 1.8% |
| 29.85 | 184 | 1.7% |
| 29.93 | 183 | 1.7% |
| 29.96 | 179 | 1.7% |
| 29.88 | 179 | 1.7% |
| 29.98 | 177 | 1.7% |
| 29.87 | 173 | 1.6% |
| 29.9 | 172 | 1.6% |
| Other values (203) | 8693 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 24.42 | 1 | |
| 26.95 | 1 | |
| 28.01 | 1 | |
| 28.39 | 1 | |
| 28.43 | 1 | |
| 28.48 | 1 | |
| 28.5 | 2 | |
| 28.51 | 1 | |
| 28.53 | 2 |
| Value | Count | Frequency (%) |
| 30.68 | 1 | < 0.1% |
| 30.65 | 1 | < 0.1% |
| 30.64 | 1 | < 0.1% |
| 30.62 | 1 | < 0.1% |
| 30.61 | 2 | < 0.1% |
| 30.6 | 3 | |
| 30.59 | 1 | < 0.1% |
| 30.58 | 3 | |
| 30.57 | 5 | |
| 30.56 | 1 | < 0.1% |
| Distinct | 226 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1253505605 |
| Minimum | 0 |
|---|---|
| Maximum | 6.84 |
| Zeros | 6528 |
| Zeros (%) | 62.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0.06 |
| 95-th percentile | 0.77 |
| Maximum | 6.84 |
| Range | 6.84 |
| Interquartile range (IQR) | 0.06 |
Descriptive statistics
| Standard deviation | 0.3418088889 |
|---|---|
| Coefficient of variation (CV) | 2.726823777 |
| Kurtosis | 48.83930999 |
| Mean | 0.1253505605 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 5.419890549 |
| Sum | 1319.44 |
| Variance | 0.1168333165 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 6528 | |
| 0.01 | 589 | 5.6% |
| 0.02 | 262 | 2.5% |
| 0.03 | 168 | 1.6% |
| 0.04 | 151 | 1.4% |
| 0.05 | 141 | 1.3% |
| 0.07 | 112 | 1.1% |
| 0.06 | 112 | 1.1% |
| 0.08 | 97 | 0.9% |
| 0.09 | 90 | 0.9% |
| Other values (216) | 2276 | 21.6% |
| Value | Count | Frequency (%) |
| 0 | 6528 | |
| 0.01 | 589 | 5.6% |
| 0.02 | 262 | 2.5% |
| 0.03 | 168 | 1.6% |
| 0.04 | 151 | 1.4% |
| 0.05 | 141 | 1.3% |
| 0.06 | 112 | 1.1% |
| 0.07 | 112 | 1.1% |
| 0.08 | 97 | 0.9% |
| 0.09 | 90 | 0.9% |
| Value | Count | Frequency (%) |
| 6.84 | 1 | |
| 5.72 | 1 | |
| 4.61 | 1 | |
| 4.41 | 1 | |
| 4.4 | 1 | |
| 4.1 | 1 | |
| 3.92 | 1 | |
| 3.8 | 1 | |
| 3.79 | 1 | |
| 3.35 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| Level_1 | |
|---|---|
| Level_2 | |
| Level_3 | |
| Level_4 |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Level_2 |
|---|---|
| 2nd row | Level_1 |
| 3rd row | Level_4 |
| 4th row | Level_1 |
| 5th row | Level_1 |
Common Values
| Value | Count | Frequency (%) |
| Level_1 | 4294 | |
| Level_2 | 3583 | |
| Level_3 | 1630 | 15.5% |
| Level_4 | 1019 | 9.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| level_1 | 4294 | |
| level_2 | 3583 | |
| level_3 | 1630 | 15.5% |
| level_4 | 1019 | 9.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| Sunny | |
|---|---|
| Light_Rain | |
| Windy | |
| Heavy_Rain | |
| Light_Snow | |
| Other values (3) |
Length
| Max length | 10 |
|---|---|
| Median length | 5 |
| Mean length | 6.841155235 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Windy |
|---|---|
| 2nd row | Windy |
| 3rd row | Windy |
| 4th row | Windy |
| 5th row | Windy |
Common Values
| Value | Count | Frequency (%) |
| Sunny | 5392 | |
| Light_Rain | 1611 | 15.3% |
| Windy | 1136 | 10.8% |
| Heavy_Rain | 981 | 9.3% |
| Light_Snow | 766 | 7.3% |
| Heavy_Snow | 458 | 4.4% |
| Storm | 107 | 1.0% |
| SnowStorm | 75 | 0.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| sunny | 5392 | |
| light_rain | 1611 | 15.3% |
| windy | 1136 | 10.8% |
| heavy_rain | 981 | 9.3% |
| light_snow | 766 | 7.3% |
| heavy_snow | 458 | 4.4% |
| storm | 107 | 1.0% |
| snowstorm | 75 | 0.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2018.396447 |
| Minimum | 2016 |
|---|---|
| Maximum | 2021 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 2016 |
|---|---|
| 5-th percentile | 2016 |
| Q1 | 2017 |
| median | 2018 |
| Q3 | 2020 |
| 95-th percentile | 2021 |
| Maximum | 2021 |
| Range | 5 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.664342462 |
|---|---|
| Coefficient of variation (CV) | 0.0008245865 |
| Kurtosis | -1.221755861 |
| Mean | 2018.396447 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.04589071239 |
| Sum | 21245641 |
| Variance | 2.77003583 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 2016 | 1830 | |
| 2020 | 1830 | |
| 2017 | 1825 | |
| 2018 | 1825 | |
| 2019 | 1825 | |
| 2021 | 1391 |
| Value | Count | Frequency (%) |
| 2016 | 1830 | |
| 2017 | 1825 | |
| 2018 | 1825 | |
| 2019 | 1825 | |
| 2020 | 1830 | |
| 2021 | 1391 |
| Value | Count | Frequency (%) |
| 2021 | 1391 | |
| 2020 | 1830 | |
| 2019 | 1825 | |
| 2018 | 1825 | |
| 2017 | 1825 | |
| 2016 | 1830 |
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| May | |
|---|---|
| August | |
| July | |
| March | |
| January | |
| Other values (7) |
Length
| Max length | 9 |
|---|---|
| Median length | 6 |
| Mean length | 6.085597568 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | January |
|---|---|
| 2nd row | January |
| 3rd row | January |
| 4th row | January |
| 5th row | January |
Common Values
| Value | Count | Frequency (%) |
| May | 930 | |
| August | 930 | |
| July | 930 | |
| March | 930 | |
| January | 930 | |
| June | 900 | |
| September | 900 | |
| April | 900 | |
| February | 850 | |
| October | 801 | |
| Other values (2) | 1525 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| may | 930 | |
| august | 930 | |
| july | 930 | |
| march | 930 | |
| january | 930 | |
| june | 900 | |
| september | 900 | |
| april | 900 | |
| february | 850 | |
| october | 801 | |
| Other values (2) | 1525 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.334790044 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 6 |
| Q3 | 9 |
| 95-th percentile | 12 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.387642765 |
|---|---|
| Coefficient of variation (CV) | 0.5347679626 |
| Kurtosis | -1.160931195 |
| Mean | 6.334790044 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.04762853165 |
| Sum | 66680 |
| Variance | 11.4761235 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 8 | 930 | |
| 1 | 930 | |
| 3 | 930 | |
| 5 | 930 | |
| 7 | 930 | |
| 9 | 900 | |
| 4 | 900 | |
| 6 | 900 | |
| 2 | 850 | |
| 10 | 801 | |
| Other values (2) | 1525 |
| Value | Count | Frequency (%) |
| 1 | 930 | |
| 2 | 850 | |
| 3 | 930 | |
| 4 | 900 | |
| 5 | 930 | |
| 6 | 900 | |
| 7 | 930 | |
| 8 | 930 | |
| 9 | 900 | |
| 10 | 801 |
| Value | Count | Frequency (%) |
| 12 | 775 | |
| 11 | 750 | |
| 10 | 801 | |
| 9 | 900 | |
| 8 | 930 | |
| 7 | 930 | |
| 6 | 900 | |
| 5 | 930 | |
| 4 | 900 | |
| 3 | 930 |
Day
Real number (ℝ≥0)
| Distinct | 31 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.69855596 |
| Minimum | 1 |
|---|---|
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 16 |
| Q3 | 23 |
| 95-th percentile | 29 |
| Maximum | 31 |
| Range | 30 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.809089012 |
|---|---|
| Coefficient of variation (CV) | 0.5611400842 |
| Kurtosis | -1.196744085 |
| Mean | 15.69855596 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.01005092038 |
| Sum | 165243 |
| Variance | 77.60004922 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 4 | 349 | 3.3% |
| 1 | 349 | 3.3% |
| 2 | 349 | 3.3% |
| 6 | 349 | 3.3% |
| 3 | 349 | 3.3% |
| 5 | 349 | 3.3% |
| 7 | 347 | 3.3% |
| 12 | 345 | 3.3% |
| 23 | 345 | 3.3% |
| 15 | 345 | 3.3% |
| Other values (21) | 7050 |
| Value | Count | Frequency (%) |
| 1 | 349 | |
| 2 | 349 | |
| 3 | 349 | |
| 4 | 349 | |
| 5 | 349 | |
| 6 | 349 | |
| 7 | 347 | |
| 8 | 345 | |
| 9 | 345 | |
| 10 | 345 |
| Value | Count | Frequency (%) |
| 31 | 200 | |
| 30 | 315 | |
| 29 | 325 | |
| 28 | 345 | |
| 27 | 345 | |
| 26 | 345 | |
| 25 | 345 | |
| 24 | 345 | |
| 23 | 345 | |
| 22 | 345 |
| Distinct | 2107 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.4 KiB |
| 2019-11-28 | 5 |
|---|---|
| 2021-09-08 | 5 |
| 2020-11-07 | 5 |
| 2016-07-06 | 5 |
| 2021-05-20 | 5 |
| Other values (2102) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2016-01-01 |
|---|---|
| 2nd row | 2016-01-02 |
| 3rd row | 2016-01-03 |
| 4th row | 2016-01-04 |
| 5th row | 2016-01-05 |
Common Values
| Value | Count | Frequency (%) |
| 2019-11-28 | 5 | < 0.1% |
| 2021-09-08 | 5 | < 0.1% |
| 2020-11-07 | 5 | < 0.1% |
| 2016-07-06 | 5 | < 0.1% |
| 2021-05-20 | 5 | < 0.1% |
| 2020-05-22 | 5 | < 0.1% |
| 2021-04-23 | 5 | < 0.1% |
| 2018-11-02 | 5 | < 0.1% |
| 2018-11-06 | 5 | < 0.1% |
| 2019-11-24 | 5 | < 0.1% |
| Other values (2097) | 10476 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2019-11-28 | 5 | < 0.1% |
| 2018-01-28 | 5 | < 0.1% |
| 2016-12-10 | 5 | < 0.1% |
| 2016-06-28 | 5 | < 0.1% |
| 2019-03-16 | 5 | < 0.1% |
| 2020-07-12 | 5 | < 0.1% |
| 2016-11-06 | 5 | < 0.1% |
| 2021-09-27 | 5 | < 0.1% |
| 2018-12-25 | 5 | < 0.1% |
| 2017-05-12 | 5 | < 0.1% |
| Other values (2097) | 10476 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Unnamed: 0 | Station | latitude | longitude | Borough | City | State | ZipCode | Temperature_Max | Temperature_Avg | Temperature_M | Dewpot_Max | Dewpot_Avg | Dewpot_M | Humidity_Max | Humidity_Avg | Humidity_M | Wdspeed_Max | Wdspeed_Avg | Wdspeed_M | Pressure_Max | Pressure_M | Precipitation_Total | Level | Weather_Type | Year | Month | Month_Number | Day | Date | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 41.2 | 38.1 | 33.9 | 26.9 | 21.9 | 16.9 | 60 | 51.0 | 45 | 28.4 | 11.3 | 1.3 | 30.10 | 29.96 | 0.0 | Level_2 | Windy | 2016 | January | 1 | 1 | 2016-01-01 |
| 1 | 1 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 39.4 | 35.2 | 32.4 | 19.3 | 17.5 | 14.0 | 56 | 48.0 | 42 | 25.3 | 10.1 | 0.0 | 30.11 | 29.95 | 0.0 | Level_1 | Windy | 2016 | January | 1 | 2 | 2016-01-02 |
| 2 | 2 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 44.7 | 38.6 | 34.5 | 23.5 | 21.1 | 19.5 | 60 | 49.0 | 36 | 28.4 | 10.8 | 1.6 | 29.97 | 29.78 | 0.0 | Level_4 | Windy | 2016 | January | 1 | 3 | 2016-01-03 |
| 3 | 3 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 35.6 | 25.9 | 12.1 | 23.8 | 9.0 | -0.8 | 62 | 48.0 | 31 | 36.5 | 10.2 | 1.1 | 30.39 | 29.86 | 0.0 | Level_1 | Windy | 2016 | January | 1 | 4 | 2016-01-04 |
| 4 | 4 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 28.8 | 18.5 | 10.0 | 6.5 | -0.2 | -6.9 | 64 | 45.0 | 21 | 27.5 | 6.2 | 0.0 | 30.64 | 30.37 | 0.0 | Level_1 | Windy | 2016 | January | 1 | 5 | 2016-01-05 |
| 5 | 5 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 42.1 | 31.8 | 21.3 | 10.9 | 4.0 | -2.6 | 53 | 32.0 | 15 | 17.7 | 4.7 | 0.0 | 30.60 | 30.41 | 0.0 | Level_1 | Sunny | 2016 | January | 1 | 6 | 2016-01-06 |
| 6 | 6 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 46.7 | 37.1 | 28.1 | 16.1 | 10.1 | 3.6 | 49 | 33.0 | 17 | 11.6 | 2.5 | 0.0 | 30.42 | 30.18 | 0.0 | Level_2 | Sunny | 2016 | January | 1 | 7 | 2016-01-07 |
| 7 | 7 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 43.1 | 37.7 | 30.4 | 34.0 | 24.5 | 8.7 | 72 | 59.0 | 36 | 23.0 | 5.4 | 0.0 | 30.26 | 30.16 | 0.0 | Level_2 | Windy | 2016 | January | 1 | 8 | 2016-01-08 |
| 8 | 8 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 44.7 | 42.2 | 38.2 | 43.0 | 37.3 | 31.0 | 94 | 82.0 | 71 | 25.7 | 6.5 | 0.0 | 30.23 | 30.05 | 0.0 | Level_4 | Windy | 2016 | January | 1 | 9 | 2016-01-09 |
| 9 | 9 | KNYBRONX14 | 40.8616 | -73.8809 | Bronx | Botanical_Garden | NY | 10458 | 57.1 | 49.4 | 40.3 | 55.8 | 43.8 | 23.5 | 97 | 83.0 | 46 | 52.3 | 14.2 | 0.0 | 30.06 | 29.29 | 2.0 | Level_4 | Storm | 2016 | January | 1 | 10 | 2016-01-10 |
Last rows
| Unnamed: 0 | Station | latitude | longitude | Borough | City | State | ZipCode | Temperature_Max | Temperature_Avg | Temperature_M | Dewpot_Max | Dewpot_Avg | Dewpot_M | Humidity_Max | Humidity_Avg | Humidity_M | Wdspeed_Max | Wdspeed_Avg | Wdspeed_M | Pressure_Max | Pressure_M | Precipitation_Total | Level | Weather_Type | Year | Month | Month_Number | Day | Date | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10516 | 10516 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 73.9 | 67.5 | 61.2 | 66.4 | 60.4 | 50.5 | 94 | 78.0 | 68 | 12.0 | 1.3 | 0.0 | 29.88 | 29.78 | 0.15 | Level_2 | Light_Rain | 2021 | September | 9 | 28 | 2021-09-28 |
| 10517 | 10517 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 69.4 | 61.4 | 52.5 | 50.5 | 46.3 | 42.3 | 79 | 59.0 | 42 | 12.0 | 1.4 | 0.0 | 30.01 | 29.88 | 0.00 | Level_2 | Sunny | 2021 | September | 9 | 29 | 2021-09-29 |
| 10518 | 10518 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 66.9 | 61.2 | 55.4 | 50.0 | 47.6 | 45.0 | 75 | 62.0 | 47 | 11.0 | 0.9 | 0.0 | 30.17 | 30.01 | 0.00 | Level_2 | Sunny | 2021 | September | 9 | 30 | 2021-09-30 |
| 10519 | 10519 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 69.4 | 58.3 | 46.9 | 50.9 | 46.9 | 43.0 | 88 | 68.0 | 43 | 11.0 | 0.9 | 0.0 | 30.25 | 30.16 | 0.01 | Level_2 | Light_Rain | 2021 | October | 10 | 1 | 2021-10-01 |
| 10520 | 10520 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 76.8 | 62.6 | 50.0 | 58.6 | 53.1 | 47.1 | 91 | 73.0 | 46 | 15.0 | 1.3 | 0.0 | 30.19 | 30.02 | 0.00 | Level_2 | Sunny | 2021 | October | 10 | 2 | 2021-10-02 |
| 10521 | 10521 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 79.7 | 67.1 | 53.8 | 68.0 | 61.1 | 52.3 | 97 | 82.0 | 52 | 8.0 | 0.5 | 0.0 | 30.03 | 29.88 | 0.00 | Level_2 | Sunny | 2021 | October | 10 | 3 | 2021-10-03 |
| 10522 | 10522 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 75.2 | 68.8 | 62.6 | 69.3 | 65.9 | 60.8 | 96 | 91.0 | 80 | 7.0 | 0.2 | 0.0 | 30.05 | 29.86 | 0.14 | Level_1 | Light_Rain | 2021 | October | 10 | 4 | 2021-10-04 |
| 10523 | 10523 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 66.6 | 62.9 | 60.3 | 61.2 | 59.6 | 58.6 | 95 | 89.0 | 79 | 4.0 | 0.1 | 0.0 | 30.31 | 30.04 | 0.03 | Level_2 | Light_Rain | 2021 | October | 10 | 5 | 2021-10-05 |
| 10524 | 10524 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 70.3 | 65.2 | 61.9 | 62.2 | 60.4 | 58.3 | 94 | 85.0 | 74 | 5.0 | 0.1 | 0.0 | 30.37 | 30.29 | 0.00 | Level_2 | Sunny | 2021 | October | 10 | 6 | 2021-10-06 |
| 10525 | 10525 | KNYNEWYO103 | 40.5674 | -74.1343 | Staten Island | Richmondtown | NY | 10308 | 76.3 | 65.0 | 59.2 | 65.5 | 61.2 | 58.3 | 98 | 88.0 | 65 | 5.0 | 0.2 | 0.0 | 30.31 | 30.18 | 0.00 | Level_2 | Sunny | 2021 | October | 10 | 7 | 2021-10-07 |